Fuzzy Supervisory Control
نویسنده
چکیده
Control problems in the process industry are dominated by non-linear and time-varying behaviour, many inner loops, and much interaction between the control loops. Fuzzy controllers have in some cases nevertheless mimicked the control actions of a human operator. For high level control and supervisory control several simple controllers can be combined in a priority hierarchy such as the one developed in the cement industry. An example of a distillation column shut-down illustrates a design procedure.
منابع مشابه
Optimization of PID Controller with Supervisory Fuzzy Control for Industrial Robots
It is difficult to control the movement of the robot arm due to its nonlinear structure. PID controller is still in the world because of its simplicity in designing this controller as the main controller. The nonlinear control technique is very complicated, and this is not very interesting in the controller. While fuzzy control has a better performance, it incorporates a fuzzy control with ...
متن کاملSupervisory Fuzzy Control for Networked Control Systems
This work presents a supervisory control strategy for Networked Control Systems. This shows the identification and control of a plant using fuzzy theory. The identification is perform through input-output data. The fuzzy model incorporates the delay dynamics within of fuzzy rules. The controller is composed by a nominal control and a proposed supervisory control from the fuzzy model. A system o...
متن کاملApplications of Fuzzy Supervisory PID Controller to a Power System
This paper presents a way that fuzzy logic can be used in high level control functions. Specifically, we examine the use of fuzzy logic in supervisory control, for selecting discrete control actions, identifying the operating environment and evaluating controller performance. Proportional integral derivative (PID) controllers are widely used in excitation control of power systems, they exh ibit...
متن کاملA supervisory fuzzy neural network control system for tracking periodic inputs
A supervisory fuzzy neural network (FNN) control system is designed to track periodic reference inputs in this study. The control system is composed of a permanent magnet (PM) synchronous servo motor drive with a supervisory FNN position controller. The supervisory FNN controller comprises a supervisory controller, which is designed to stabilize the system states around a defined bound region a...
متن کاملA Fuzzy Supervisory Model for Analysis of Manual Landing Control
A new pilot model consisting of neural networks and supervisory fuzzy logic control is proposed to reveal a pilot’s control characteristics in the visual approach to landing. The model is constructed from real or simulated flight and can be used for pilot training or assesment.
متن کاملCMAC-based previous step supervisory control schemes for relaxing bound in adaptive fuzzy control
In this paper, a novel scheme of incorporating a learning mechanism into previous step supervisory controllers for adaptive fuzzy control is proposed to relax bounds required in the control process. In traditional supervisory adaptive fuzzy control approaches, the use of fuzzy estimators for approximating system functions and a robust supervisory control law are necessary to deal with any possi...
متن کامل